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SocialDataX 知乎 Zhihu MCP

zhihu_get_video_speech_text_job

Read-only

根据用户提供的有效 job_id,或 submit 工具返回的 job_id 查询知乎视频口播转文字任务;每次最多等待 240 秒,不触发重处理,也不要重复提交任务。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes口播转文字任务 ID;用户已提供时直接使用,否则使用 zhihu_submit_video_speech_text_by_video_url 或 zhihu_submit_video_speech_text_by_zvideo_id 返回的 job_id;任务未完成时继续原样传入同一个 job_id,不要重复提交。

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorYes失败或过期时的稳定错误结构;非终态或成功时为 null。
job_idYes任务 ID。
statusYes任务状态。
messageYes面向用户/AI 的状态说明。
platformYes任务所属平台。
source_idYes任务来源 ID。
content_idYes平台内容 ID。
transcriptYes成功时的口播转文字结果;非终态或失败时为 null。
is_terminalYes是否已终态。
next_actionYes非终态时建议的下一步查询动作。
content_metaYes作品上下文信息,便于结合转写内容做口播分析。
content_typeYes内容类型。
next_poll_after_secondsYes建议下次查询前等待的秒数;非终态时可用。

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint and openWorldHint, and the description adds useful behavioral context: each call waits up to 240 seconds, does not trigger reprocessing, and should not be used to resubmit. This is meaningful beyond the annotations, though it does not detail timeout error handling or pagination-style progression.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single compact sentence that front-loads the purpose and then adds the operational constraints. There is no filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter read-only job-status tool with an output schema, the description covers the input source, the waiting behavior, and the important no-resubmission/no-reprocessing rules. Nothing critical is missing for an agent to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already provides 100% coverage for the single job_id parameter, including its source and the reuse rule. The tool description reinforces these semantics but does not add significant parameter-specific meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action and resource: querying a Zhihu video speech-to-text task by job_id. It clearly distinguishes itself from the sibling submit tools by referencing job_ids returned by them and framing the operation as a query rather than a submission.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly states when to use the tool: when a valid user-provided job_id exists or when a job_id was returned by a submit tool. It also gives a clear exclusion: do not resubmit or trigger reprocessing, which helps the agent choose this polling/query tool over re-submitting.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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